this course was really helpful for me, as a mechanical engineer with limited knowledge of programming- This course start from very basic level and explains each and every little concept in details, I highly recommend anyone you want to start with deep learning should opt for this course.

One of the best courses for the basics of machine learning on the internet. You don't feel that you are missing in any detail after doing this course. Some Basic understanding is a must before starting this course.

Thank you Andrew Ng Sir for giving us the opportunity to learn from you

A very detailed tutorial on how to build a NN from scratch and how it works. As a practical-minded person, this information is important to understand, and therefore tune, hyperparameters, and network architecture, which are the ones that eventually determine the success of a neural net.

The course is clear and explains in detail the logic behind the mathematical calculations. It provided a solid knowledge of shallow and deep neural networks. I am not a programmer, so the programming assignments are a little challenging, but it is possible to cope with it through forums.

This course is a stellar. It teaches the core concepts of neural networks and gives guided assignments which make it easier to learn the material. By the end of this course, you learn a lot to make your own models. However, edition of reading material after every course, would be helpful

I highly recommend this course, especially, for those who is already familiar with python and calculus. Otherwise, some issues could not be totally clear, but, nevertheless, it's hardly possible to create a course of DL for complete novices in programming and linear algebra. Thank you :)

One of the best courses that teaches you the inside mechanisms of the deep learning. Just right amount of details that one should know before using newer tools like Tensorflow or Keras (which will virtually abolish the need to think of all these smaller parts that go behind the curtain!)

This is an amazing course and i got to learn a lot about deep learning. The pointers I received about vectorization and building helper function and then merging them all into one big function not only helps my understanding in deep learning, but also in any software development project.

The course is really good, Instructor explains the neural networks from a code implementation point of view.

Assignments give boost to the lectures. I would recommend any one who wants to enter into deep learning field to take up this course (Even though you know all the algorithms) .

An excellent course. Explains the concepts very well and walks you through a step-by-step impementation excercise. Even though I have no prior programming experience to speak of, I could navigate through the course. The excecises are well documented and provide a good learning platform.

It was a great experience to dive into the world of neural networks. I learn the basics of deep learning, understand how does it work with this course. But the most important of my gains is practicing the skill of deep learning in a live environment. Thanks to who contribute this course.

This course has provided the most comprehensive explanation of neural networks I've ever encountered! The instructor's approach to teaching math concepts and the necessary mathematics for building deep networks makes learning and understanding incredibly easier. Truly an amazing course!

Andrew, you are a great teacher. Your calmness and humbleness make this course very easy. After taking this course I am very much familiar with deep neural networks and I am looking forward to completing all these five courses. again Thank you very much, Andrew, for this awesome cource.

This course is amazing. It really allows you to consume the concepts in a easy matter, but at same ensures that you have deep enough understanding to implement via the lab assignments. The lab assignment do amazing job of reinforncening the lectures. The community support is also great!

Most Courses online only provide a very code intensive approach (HOW) to deep learning problems rather than covering much of intuition or mathematical rigor (the WHAT and WHY). This course is comprehensive and a fantastic resource for someone who is starting their Deep Learning Journey.

An amazing place to start learning neural networks and deep learning. The exercises and tests were really helpful which built my logic and the notations-although bit confusing in start-make perfect sense now. Pleased to say this confidently that I learned in-depth about neural networks.

This in an exceptional course! The instructor explained complicated concepts clearly and concisely. The programming assignments were very well done as well. The instructions were clear and the format was simple. This is a great course for anyone trying to get started with deep learning.

Probably the best course!!! The videos are to the point.....Few guest interviews keep us inspiring. Excellent coding assessments and Quizzes. The concepts are actually deeper. I watched each video at least 2-3 times to get decent hold on the concepts. I am now very big fan of Andrew NG.

The lectures can be a little dry, but that's hard to avoid when talking about the nuts and bolts of such ab abstract topic, and I appreciate the emphasis on the fundamentals. Sure, I'd love to start swinging Keras around and building cools, but the slow and steady approach will pay off!

Perfect For Beginning and all the resources provided by Dr. Andrew our are great itself.. The best Part are the assignment and one should not just skip them to binge watch the complete course.. Those graded assignments are the heart and soul of the course ( Ofcourse after Dr. Andrew NG)

Great course! Content is top! Many details are covered but they're conveyed in such a way that you simply can't get confused. This course is aimed at those who would like to understand the mechanics behind popular NN packages, such as TensorFlow. Thanks to deeplearning.ai and Coursera!

Explained the math very well and the programming assignments are so well commented that it is self explanatory. Feel like I understand every element needed to build a Deep NN. Did my first kaggle challenge for classification of fashion MNIST all by myself using only the Numpy library.

This course provides a good understanding of the fundamentals of deep learning. Also, it helps understands some differences between machine learning and deep learning. Additionally, math described in these lectures looks really useful to provide a good understanding of the fundamentals

Great tutorial by Dr. Andrew Ng. Well structured videos with right examples to understand the concept. I was able to understand the real working of the Deep NN through this course. Good blend of theory and practice. The quizzes and assignments help to reinforce the learning. Excellent.

This course is perfect for Deep NN introduction. Rigorous derivation of forward and backward propagation in a L-layer Neural Network. Excellent lectures and rigorous. I recommend for any engineering student and professional. Thank you Andrew and teaching team for this excellent course.